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Industry-Ready Training with Placement Support

Data Analyst Master Program

Practical training with real-time projects, expert mentorship, and career-focused learning to help you confidently build your IT career.

45 Days
100% Placement Assistance

What you’ll learn

The Data Analyst Master Program is designed to help you master data analysis, visualization, and business intelligence tools used in real-world industries. This course focuses on practical learning with hands-on projects and real datasets. You will learn how to collect, clean, analyze, and visualize data using tools like Excel, SQL, Python, and Power BI. The program also covers statistics, business intelligence concepts, and dashboard development to help you make data-driven decisions. By the end of this course, you will be able to: • Work with real-world datasets  • Perform data cleaning and transformation  • Analyze data using SQL and Python  • Build interactive dashboards and reports  • Generate meaningful business insights  • Prepare for Data Analyst job roles  This course is ideal for beginners, graduates, and working professionals who want to build a 

Data Analysis Fundamentals Advanced Excel (Pivot Tables, VLOOKUP, Dashboards) SQL (Joins, Queries, Optimization) Python for Data Analysis (Pandas, NumPy) Data Cleaning Techniques Data Visualization (Power BI / Tableau) Statistics for Data Analysis Business Intelligence Concepts Real-Time Case Studies Dashboard Development

Course Content

Module 1: Introduction to Data Analytics
• What is Data Analysis • Types of Data • Data Analyst Role & Lifecycle
Module 2: Excel Basics to Advanced
• Formulas & Functions • Pivot Tables • Data Cleaning in Excel
Module 3: Data Cleaning & Preparation
• Handling Missing Data • Removing Duplicates • Data Formatting
Module 4: SQL for Data Analysis
• SELECT Queries • WHERE, GROUP BY • Aggregations
Module 5: Advanced SQL
• Joins (Inner, Left, Right) • Subqueries • Window Functions
Module 6: Python Basics
• Python Syntax • Data Types • Basic Operations
Module 7: Pandas & NumPy
• DataFrames • Data Manipulation • Data Analysis
Module 8: Data Visualization
• Charts & Graphs • Data Storytelling
Module 9: Power BI / Tableau
• Dashboard Creation • Filters & Slicers • Reports
Module 10: Dashboard Development
• KPI Dashboards • Business Reports
Module 11: Statistics for Data Analysis
• Mean, Median, Mode • Probability Basics
Module 12: Business Case Studies
• Sales Analysis • Customer Insights
Module 13: Real-Time Project
• End-to-End Project • Data Cleaning → Dashboard
Module 14: Interview Preparation
• Resume Building • Mock Interviews • SQL & Python Questions

Features

Industry-Oriented Curriculum

Designed based on real-world business use cases and industry requirements.

Hands-On Practical Training

Work with real datasets using Excel, SQL, Python, and Power BI tools.

Real-Time Projects

Build dashboards and solve real business problems using analytics.

Certification Preparation

Get prepared for Data Analyst and Business Intelligence certifications.

Placement Assistance

Resume building, mock interviews, and job support to kickstart your career.

Support & Career

• Resume & Portfolio Preparation • Mock Technical Interviews • Real-Time Project Guidance • Job Assistance & Placement Support • Career Mentorship

Interview Questions

What is Data Analysis?
Data analysis is the process of collecting, cleaning, and interpreting data to extract meaningful insights for decision-making.
What is SQL?
SQL is a language used to manage and query data in relational databases.
What is Data Cleaning?
It is the process of fixing or removing incorrect, missing, or duplicate data.
What is Power BI?
Power BI is a tool used to create dashboards and visualize data.
What is Pandas?
Pandas is a Python library used for data analysis and manipulation.
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